Researchers Develop EHR Algorithms to Identify Undiagnosed Hypertension
Chicago, IL – A new study authored by Northwestern Medicine® researchers found that reviewing electronic health records (EHRs) using algorithms can successfully identify patients with previously undiagnosed hypertension, or high blood pressure, with a high rate of accuracy. Of the 1,033 patients that were identified with the EHR algorithms and evaluated, 361 were formally diagnosed with the hypertension and 290 others were diagnosed with related blood pressure conditions such as prehypertension, white-coat hypertension or elevated blood pressure. The study, “A Technology-Based Quality Innovation to Identify Undiagnosed Hypertension Among Active Primary Care Patients,” was published in the 2014 July/August issue of the Annals of Family Medicine.
“Hypertension is easy to miss if someone is seeing multiple physicians,” said the study’s co-author David W. Baker, MD, MPH, chief of internal medicine and geriatrics at Northwestern Memorial Hospital and Northwestern University Feinberg School of Medicine. “A patient may see one doctor who thinks the blood pressure is due to the patient not feeling well that day and then see another doctor for a different problem who thinks the blood pressure is high because the patient was hurrying to make the appointment. No one puts all of these readings together and realizes a person’s blood pressure is always elevated.” Continue>
Posted in: Healthcare IT | December 9, 2016
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